{"id":"W2920777481","doi":"","title":"Historique, qualité des données et omissions dans les recensements menés en Algérie","year":2018,"lang":"fr","type":"article","venue":"Revue des sciences sociales","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01610758,0.0003407566,0.0006630519,0.005862489,0.001322201,0.0025378,0.0009029708,0.0006478541,0.002313605],"category_scores_gemma":[0.05532147,0.0006372617,0.0006897026,0.01570058,0.001706382,0.002545319,0.001485478,0.001889051,0.000322965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006506248,"about_ca_system_score_gemma":0.008497705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2704276,"about_ca_topic_score_gemma":0.1822677,"domain_scores_codex":[0.9894927,0.003397526,0.002134276,0.001191906,0.003043637,0.0007399455],"domain_scores_gemma":[0.9501513,0.02558928,0.01200467,0.002049102,0.009360656,0.0008451096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002479631,0.00004424513,0.8600562,0.0009630476,0.0003175113,0.0006981791,0.03570388,0.00117009,0.0005550173,0.004560926,0.002670244,0.09301274],"study_design_scores_gemma":[0.000006586982,0.00004716129,0.9485822,0.0007105164,0.0001590506,0.0011064,0.0142402,0.0007325144,0.0009795228,0.0007193416,0.0326579,0.00005856452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9472763,0.03011839,0.002050636,0.008784704,0.0002159652,0.00002163424,0.006988004,0.00006242035,0.00448197],"genre_scores_gemma":[0.9760533,0.0155701,0.002381914,0.0004229342,0.0001698694,0.00002610473,0.001609338,0.00004800132,0.003718442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2704276,"threshold_uncertainty_score":0.537707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4991949816519852,"score_gpt":0.447499813466861,"score_spread":0.05169516818512415,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}